Sr. Staff Machine Learning Engineer

About Zscaler

Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. 

Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're hiring a talented Sr. Staff Machine Learning Engineer to join our growing ML/AI team at Zscaler. The team focuses on various cybersecurity use cases including threat detection, policy recommendation, malware detection, content classification, and anomaly detection, through advanced algorithms. In this role, you'll have the opportunity to work on innovative ML/AI projects that address important cybersecurity challenges.  This is a hybrid work environment, going into our San Jose, CA office 3 days a week.  Reporting to the VP, Software Development Engineering, you'll be responsible for: 

• Leading the design and development of ML components, cybersecurity applications and providing technical guidance to junior and mid-level engineers
• Optimizing existing machine learning pipelines for improved efficiency and scalability 
• Exploring and experimenting with advanced machine learning algorithms, agents, and architectures to solve complex cybersecurity problems 
• Collaborating with cross-functional teams to define project requirements and ensure alignment with business objectives 
• Advancing the frontier in machine learning, and applying them to our cybersecurity solutions.

What We're Looking for (Minimum Qualifications) 

• 7+ years of experience as a Machine Learning Engineer/scientist, with a proven track record of delivering successful projects 
• Strong proficiency in Python, SQL
• Extensive experience in data modeling, feature engineering, model development, and error analysis 
• Solid understanding of mathematical machine learning concepts Game Theory, Reputation Systems, Dynamical systems, etc
• Bachelor's degree in Computer Science, Physics, Mathematics, or a related technical field (Master's Degree or PhD preferred)

What Will Make You Stand Out (Preferred Qualifications) 

• Experience developing scalable algorithms with expertise in unsupervised learning techniques and model explainability
• Strong background in public cloud services (e.g., AWS, Google Cloud, Azure) and ML automation platforms, with prior experience on cybersecurity projects/products
• Proficiency in Rust programming for high-performance applications and secure coding practices

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